Ejemplo n.º 1
0
def next_imm_date(reference_date, tenor):
    """
    Third Wednesday of contract month
    """
    dt = reference_date
    for k in range(tenor):
        dt = imm.next_date(dt)
    return pydate_from_qldate(dt)
Ejemplo n.º 2
0
def next_imm_date(reference_date, tenor):
    """
    Third Wednesday of contract month
    """
    dt = reference_date
    for k in range(tenor):
        dt = imm.next_date(dt)
    return pydate_from_qldate(dt)
Ejemplo n.º 3
0
def next_imm_date(reference_date, tenor):
    """
    Third Wednesday of contract month
    """
    dt = qldate_from_pydate(reference_date)
    for k in range(tenor):
        tmp = imm.next_date(dt)
        dt = pydate_to_qldate(tmp)
    return pydate_from_qldate(dt)
Ejemplo n.º 4
0
def next_imm_date(reference_date, tenor):
    """
    Third Wednesday of contract month
    """
    dt = qldate_from_pydate(reference_date)
    for k in range(tenor):
        tmp = imm.next_date(dt)
        dt = pydate_to_qldate(tmp)
    return pydate_from_qldate(dt)
Ejemplo n.º 5
0
def zero_curve(ts, dtObs):
    dtMax = ts.max_date

    calendar = TARGET()
    days = range(10, 365 * 20, 30)
    dtMat = [min(dtMax, calendar.advance(Date.from_datetime(dtObs), d, Days))
             for d in days]
    # largest dtMat < dtMax, yet QL run time error

    df = np.array([ts.discount(dt) for dt in dtMat])
    dtMat = [pydate_from_qldate(dt) for dt in dtMat]
    dtToday = dtObs.date()
    dt = np.array([(d - dtToday).days / 365.0 for d in dtMat])
    zc = -np.log(df) / dt
    return (dtMat, zc)
Ejemplo n.º 6
0
def zero_curve(ts, dtObs):
    dtMax = ts.max_date

    calendar = TARGET()
    days = range(10, 365 * 20, 30)
    dtMat = [
        min(dtMax, calendar.advance(Date.from_datetime(dtObs), d, Days))
        for d in days
    ]
    # largest dtMat < dtMax, yet QL run time error

    df = np.array([ts.discount(dt) for dt in dtMat])
    dtMat = [pydate_from_qldate(dt) for dt in dtMat]
    dtToday = dtObs.date()
    dt = np.array([(d - dtToday).days / 365.0 for d in dtMat])
    zc = -np.log(df) / dt
    return (dtMat, zc)